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In this letter, we introduce The Polar Vocabularies and Semantics Working Group, originally established as a joint effort between the joint SAON/IASC Arctic Data Committee and the Data Management Collaboration Team of the Interagency Arctic Research Policy Committee. We Invite, communities of practice to actively engage with us in our activities (described below), to advance the state of semantics-based applications in polar activities (and to increase interoperability between stakeholders and rights holders within existing and emerging digital ecosystems).

This data forms part of the TUNU Programme at UiT–The Arctic University of Norway and is the first contribution focused on benthic invertebrates in this Programme. The TUNU-Programme received permits from the Government of Greenland, Ministry of Fisheries, Hunting and Agriculture–document ID: C-17-129 and C-15-17. The data consists of epibenthic megafaunal invertebrates that were sampled from R/V Helmer Hanssen (UiT–The Arctic University of Norway, Tromsø), as part of the ongoing international TUNU-Programme (TUNU means East Greenland in Greenlandic) during the TUNU-VI Expedition in August 2015 and the TUNU-VII Expedition in September 2017. The dataset covers areas of the Northeast Greenland coastal and shelf areas such as Bessel Fjord, Dove Bugt, Belgica Bank and other shelf locations, and further east along the shelf break and upper continental slope. A total of 18 locations were sampled with a total of 33 trawl samples collected over a depth range covering from 65 to 1011 m. A full description of sampling methods can be found here: https://link.springer.com/article/10.1007/s00300-020-02733-z The data sets include; epibenthic abundance (years 2015 & 2017) and biomass (2017). Abundance estimates were standardized to number of individuals (ind.) 1000 m−2 and biomass estimates were standardised to gram wet weight (g ww) 1000 m−2. Trait information was collected from the Arctic Trait Database (https://www.univie.ac.at/ arctic traits/, Accessed: April 2023) and the fuzzy coding approach applied. If traits were not available from the Arctic Trait Database at the lowest taxonomic rank, the literature was reviewed to retain the highest taxonomic resolution possible, or the trait was given a score of zero in order not to bias results of trait-analyses. Environmental data is also included for all stations (both years) as one file and the variables include latittude, longitude, bottom water temperature (C), bottom salinity (PSU), oxygen concentration (ml L−1), and turbidity (FTU).

The poster details the methodology and preliminary findings of an accuracy assessment for sea ice condition predictions. This assessment utilizes Synthetic Aperture Radar (SAR) imagery alongside sea ice drift data modeled by Barents 2.5 v2, and a warping algorithm developed by Anton Korosov and Anna Telegina, available at [https://github.com/nansencenter/sar_image_warping]. It presents an analysis of drift and distortion errors, supplementing these findings with case studies on the predictive behavior of sea ice in marginal ice zones and deformation zones, where more "ductile" types of sea ice are predominant.

This repository contains a set of Matlab scripts to produce the ATOMIX Shear Probes subgroup benchmark dataset descriptor figures, and a Python script to check that the format and attributes of a netCDF dataset conform to the recommended ATOMIX format. ATOMIX “Analyzing ocean turbulence observations to quantify mixing” is the Working Group 160 under the Scientific Committee on Oceanographic Research (SCOR). More details can be found on https://wiki.app.uib.no/atomix.

Gadolinium (Gd) is one of the rare earth elements (REY) and is widely used in magnetic resonance imaging (MRI) contrast agents. Anthropogenic Gd enrichment has frequently been found in wastewater treatment plant effluents in industrialised countries, rising concerns regarding effects on aquatic biota. This study investigates the acute toxicity and sublethal effects of Gd in two forms, as inorganic salt (GdCl3) and as Gd-based contrast agent (GBCA), on early life stages of zebrafish (Danio rerio). Nominal exposure concentrations ranged from 3 to 3000 μg L−1, with an exposure duration of 96 h. None of the two tested compounds were acutely toxic to embryos and larvae. Similarly, we did not observe any effects on larval development and locomotive behaviour. However, we found significant changes in the brain activity of larvae exposed to the highest concentrations of GdCl3 and the GBCA. Our findings show that Gd can have sublethal effects on developing fish at lower concentrations than reported previously, highlighting the necessity of investigating the long-term fate and effects of GBCAs released into the aquatic environment. Gadolinium (Gd) is one of the rare earth elements (REY) and is widely used in magnetic resonance imaging (MRI) contrast agents. Anthropogenic Gd enrichment has frequently been found in wastewater treatment plant effluents in industrialised countries, rising concerns regarding effects on aquatic biota. This study investigates the acute toxicity and sublethal effects of Gd in two forms, as inorganic salt (GdCl3) and as Gd-based contrast agent (GBCA), on early life stages of zebrafish (Danio rerio). Nominal exposure concentrations ranged from 3 to 3000 μg L−1, with an exposure duration of 96 h. None of the two tested compounds were acutely toxic to embryos and larvae. Similarly, we did not observe any effects on larval development and locomotive behaviour. However, we found significant changes in the brain activity of larvae exposed to the highest concentrations of GdCl3 and the GBCA. Our findings show that Gd can have sublethal effects on developing fish at lower concentrations than reported previously, highlighting the necessity of investigating the long-term fate and effects of GBCAs released into the aquatic environment.

Contains all code and data for the GMD manuscript "Introducing ELSA v2.0: an isochronal model for ice-sheet layer tracing" ELSA: version 2.0 (https://git.app.uib.no/melt-team-bergen/elsa, tag v2.0) Yelmo: version 1.801 (https://github.com/palma-ice/yelmo, tag v1.801) with a minor alteration to the basal dragging scheme Yelmox: version 1.801 (https://github.com/palma-ice/yelmox, tag v1.801) Operation IceBridge data, processed and interpolated to a 16km x 16km grid (see https://icebridge.gsfc.nasa.gov/?page_id=732)

A nutrient distribution such as phosphate (PO₄³⁻), ammonium (NH₄⁺), nitrate (NO₃⁻), dissolved silica (Si), total dissolved nitrogen (TN), dissolved organic nitrogen (DON) together with dissolved organic carbon (DOC) and inorganic carbon (DIC), was investigated during a high melting season in 2021 in the western Spitsbergen fjords (Hornsund, Isfjorden, Kongsfjorden, and Krossfjorden). Both the water column and the pore water were investigated for nutrients and dissolved carbon distribution and gradients. The water column concentrations of most measured parameters such as PO₄³⁻, NH₄⁺, NO₃⁻, Si, and DIC showed significant changes among fjords and water masses. In addition, pore water gradients of PO₄³⁻, NH₄⁺, NO₃⁻, Si, DIC and DOC revealed significant variability between fjords and are likely substantial sources of the investigated elements for the water column. The obtained dataset reflects differences in hydrography and biogeochemical ecosystem function of the western Spitsbergen fjords and may form the base for further modelling of physical oceanographic and biogeochemical processes within the investigated fjord systems.

This draft report was submitted by the EOSC Semantic Interoperability Task Force to the EOSC Association’s Quality Review Committee’s (QRC) on 12 March 2024 to address the comments of two reviewers consulted by the EOSC Association and a community reviewer. This record contains the updated draft and a document that outlines the changes made to the previous version of the draft report (11 January 2024). This document expands on and provides nuance to some of the concepts defined in the EOSC Interoperability Framework report from the EOSC Executive Board Working Groups (WG) FAIR and Architecture published in 2021 and the conceptualisation of an EOSC Interoperability Framework that it embodies (EOSC-IF). It accounts for a deep-dive into the landscape of semantic interoperability implementations and a wide range of interoperability scenarios focused around the Semantic Interoperability Specification, some subtypes of Semantic Business Objects, as well as the Semantic Artefact Catalogue and Mapping Repository. A small set of new concepts of relevance to this work and to EOSC at large have also been added. The introduction provides context to the creation of this report, the basic concepts section provides and overview of the related components of the EOSC-IF, and the following four sections summarise explorations that frame the concluding set of recommendation to the EOSC community at large. The explorations that frame the recommendations are titled as follows: The Semantic Interoperability Specification: Implementation profiles for communities The Semantic Artefact Catalogue: Twelve maturity dimensions The Mapping Repository: Making a case for FAIR mappings and crosswalks Implementation examples: Common use cases and real-world case studies The recommendations themselves are organised under the following five broad categories: Align emerging adaptations and implementations to the Semantic View of the EOSC-IF (pp. 39–42) reference architecture. Identify and consolidate different approaches to representing and exchanging (meta)data with the FAIR Digital Objects model described in the EOSC-IF (pp. 29–34). Extend the EOSC-IF to include a research process perspective that can support convergence on solutions for common use cases. Extend the set of Semantic Business Objects described in the EOSC-IF (pp. 40–41) to include artefacts such as mappings and crosswalks. Recognise Semantic Artefact Catalogue component described in the EOSC-IF (p. 42) as a critical part of the long-term viability of any research data infrastructure. This is a draft report of the EOSC Association’s Task Force on Semantic Interoperability. Read more about the EOSC Association, the role of its task forces and the task forces’ membership on the eosc.eu website.